High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test

TL;DR

This paper presents an automated online inspection system for drug liquid bottles using a multi-feature ensemble learning approach, enhancing detection accuracy and efficiency in production lines.

Contribution

It introduces a novel visual inspection system with a multi-features fusion ensemble learning algorithm based on independence testing, tailored for online bottle inspection.

Findings

Improved detection accuracy over traditional methods

Automated inspection without altering existing production lines

Effective multi-feature fusion enhances classification performance

Abstract

To address the problem of online automatic inspection of drug liquid bottles in production line, an implantable visual inspection system is designed and the ensemble learning algorithm for detection is proposed based on multi-features fusion. A tunnel structure is designed for visual inspection system, which allows bottles inspection to be automated without changing original